Update README.md

README.md

@@ -31,41 +31,37 @@ This directory contains data for fine-tuning models and building RAGs for the do
 ## Overview
 
 - **data/**: Contains all datasets and indexes.
-    - **raw_sample/**: Directories of raw PRs and diffs as collected from GitHub.
-    - **raw_data.tar**: Collected PRs and diffs from GitHub.
-    - **samples/**: JSONL files with processed samples suitable for dataset generation (e.g., HuggingFace).
-    - **processed/**: Parquet or JSONL files for fine-tuning (e.g., `train.parquet`, `test.parquet`).
+    - **raw/sample/**: Sample PRs and diffs collected from GitHub.
+    - **raw_data.tar**: Archive of collected PRs and diffs from GitHub.
+    - **samples/**: Json files with processed samples suitable for dataset generation.
+    - **processed/**: Parquet files for fine-tuning (e.g., `train.parquet`, `test.parquet`).
     - **faiss/**: Vector indexes for RAG workflows.
-- **scripts/**: Python and Node.js scripts for crawling, processing, and indexing.
+- **scripts/**: Python and nodejs scripts for crawling, processing, and indexing.
 
 ## Data Structure
 
 ```
 data/
-├── raw_data.tar
-├── raw_sample/
-│   ├── prs/
-│   ├── diffs/
-│   └── ... (extracted files)
+├── raw/
+|   ├── sample/
+│   │   ├── prs/
+│   │   ├── diffs/
+│   └── raw_data.tar
 ├── processed/
 │   ├── train.parquet
 │   └── test.parquet
 └── faiss/
-    └── index
+    └── index.faiss
+    └── index.pkl
 ```
 
-- **raw_data/**: Contains the full, unprocessed PR and diff data as collected from GitHub.
-- **samples/**: Contains JSONL files formatted for use with HuggingFace Datasets.
-- **processed/**: Contains files for model fine-tuning.
-- **faiss/**: Contains vector indexes for fast retrieval in RAG setups.
-
 ## Generated dataset
 
 PR is considered as a timeline with events. Input is PR metadata (title, description, label) and commit n-1, with all events between n-1 and n. Completion is n. It is possible to filter by time, label, authors, etc.
 
 ## Scripts
 
-See [scripts/README.md](scripts/README.md) for details on running the crawler, dataset generation, fine-tuning, and RAG indexing.
+See [scripts/README.md](scripts/README.md) for details on running the crawler, dataset generation, and RAG indexing.
 
 ## PyTorch Dataset Example